The neuroQWERTY MIT-CSXPD database contains keystroke logs collected from 85 subjects with and without parkinsons disease (PD). This dataset has been collected and analyzed in order to indicate that the routine interaction with computer keyboards can be used to detect motor signs in the early stages of PD.

Data Collection

The subjects were recruited from two movement disorder units in Madrid (Spain) following the institutional protocols approved by the Massachusetts Institute of Technology, USA (Committee on the Use of Humans as Experimental Subjects approval no. 1402006203), Hospital 12 de Octubre, Spain (no. CEIC:14/090) and Hospital Clinico San Carlos, Spain (no. 14/136-E).

Each data file collected includes the timing information collected during the sessions of typing activity using a standard word processor on a Lenovo G50-70 i3-4005U with 4MB of memory and a 15 inches screen running Manjaro Linux. Subjects were instructed to type as they normally would do at home and they were left free to correct typing mistakes only if they wanted to. The key acquisition software presented a temporal resolution of 3/0.28 (mean/std) milliseconds.

The neuroQWERTY.zip file includes all of the data along with the scripts described in the next section.

Loading Scripts

The nqDataLoader.py python module contains functions used to filter anomalous results and load the data from the csv data files. The readme.ipynb ipython notebook uses these functions and demonstrates how to load and display the data.

Acknowledgements

These datasets have been collected as part of the neuroQWERTY project at the Massachusetts Institute of Technology thanks to the financial support by the Comunidad de Madrid, Fundacion Ramon Areces and The Michael J Fox Foundation for Parkinson's research (grant number 10860). We thank the M + Vision faculty for their guidance in developing this project. We also thank our many clinical collaborators at MGH in Boston, at “12 de Octubre”, Hospital Clinico and Centro Integral en Neurociencias HM CINAC in Madrid for their insightful contributions.